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The relationship between oscillatory EEG activity and the laminar-specific BOLD signal
Open accessAbstract
Significance: In this study, we demonstrate that α-, β-, and γ-oscillations can be related to activity in different cortical layers in the human brain. These cortical layers are believed to instantiate feedforward and feedback information streams. Electrophysiological oscillations in α- (8–12 Hz), β- (15–30 Hz), and γ- (40–100 Hz) bands have also been associated with different roles in feedforward and feedback processes and to different cortical layers in nonhuman animals. By simultaneously recording laminar functional MRI (fMRI) and EEG, we could directly link oscillatory signals to activity in cortical layers in humans. This research provides an important neural basis for noninvasive research into the role of cortical layers in information processing using laminar fMRI alone or combined with EEG.
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“Such findings are consistent with the observable laminar profile of fMRI (187), LFP-based phase relationship (184), and effects of neuromodulation (188).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [187]
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Citations
Cites
Individual Comparisons by Ranking Methods
Wilcoxon, F. (1945) · Biometrics Bulletin · doi:10.2307/3001968 · Cited by 15,354
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Fast and robust fixed-point algorithms for independent component analysis
Hyvärinen, A. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.761722 · Cited by 6,304
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
Spatial registration and normalization of images
Friston, K. J., Ashburner, J., Frith, C., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030303 · Cited by 3,744
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612
Accurate and robust brain image alignment using boundary-based registration
Greve, D. N., & Fischl, B. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.060 · Cited by 3,553
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
Canonical Microcircuits for Predictive Coding
Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.038 · Cited by 2,421 · cited 1×
“Furthermore, β-activity in early visual regions has been associated with top-down streams of information from higher order regions (2, 3, 48, 51).”
BackgroundNEURONAL CIRCUITS OF THE NEOCORTEX
Douglas, R. J., & Martin, K. A. C. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144152 · Cited by 1,886
Capillary pericytes regulate cerebral blood flow in health and disease
Hall, C. N., Reynell, C., Gesslein, B., Hamilton, N. B., Mishra, A., Sutherland, B. A., O’Farrell, F. M., Buchan, A. M., Lauritzen, M., & Attwell, D. (2014) · Nature · doi:10.1038/nature13165 · Cited by 1,870
Visual areas exert feedforward and feedback influences through distinct frequency channels
Bastos, A. M., Vezoli, J., Bosman, C. A., Schoffelen, J.-M., Oostenveld, R., Dowdall, J. R., De Weerd, P., Kennedy, H., & Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.018 · Cited by 1,320
Analysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1999) · Biophysical Journal · doi:10.1016/s0006-3495(99)77236-x · Cited by 1,044
The pulvinar regulates information transmission between cortical areas based on attention demands
Saalmann, Y. B., Pinsk, M. A., Wang, L., Li, X., & Kastner, S. (2012) · Science · doi:10.1126/science.1223082 · Cited by 1,016
van Kerkoerle, T., Self, M. W., Dagnino, B., Gariel-Mathis, M.-A., Poort, J., van der Togt, C., & Roelfsema, P. R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402773111 · Cited by 918
Analysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1998) · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · Cited by 898
Cortical blood vessels of the human brain
Duvernoy, H. M., Delon, S., & Vannson, J. L. (1981) · Brain Research Bulletin · doi:10.1016/0361-9230(81)90007-1 · Cited by 849
Hemodynamic Signals Correlate Tightly with Synchronized Gamma Oscillations
Niessing, J., Ebisch, B., Schmidt, K. E., Niessing, M., Singer, W., & Galuske, R. A. W. (2005) · Science · doi:10.1126/science.1110948 · Cited by 806
Transient induced gamma-band response in EEG as a manifestation of miniature saccades
Yuval-Greenberg, S., Tomer, O., Keren, A. S., Nelken, I., & Deouell, L. Y. (2008) · Neuron · doi:10.1016/j.neuron.2008.03.027 · Cited by 776
Attention modulates responses in the human lateral geniculate nucleus
O’Connor, D. H., Fukui, M. M., Pinsk, M. A., & Kästner, S. (2002) · Nature Neuroscience · doi:10.1038/nn957 · Cited by 760
Attentional stimulus selection through selective synchronization between monkey visual areas
Bosman, C. A., Schoffelen, J.-M., Brunet, N., Oostenveld, R., Bastos, A. M., Womelsdorf, T., Rubehn, B., Stieglitz, T., De Weerd, P., & Fries, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.037 · Cited by 720
Hasenstaub, A. R., Shu, Y., Haider, B., Kraushaar, U., Duque, A., & McCormick, D. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.06.016 · Cited by 666
Is perception discrete or continuous?
VanRullen, R., & Koch, C. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00095-0 · Cited by 662
Laminar differences in gamma and alpha coherence in the ventral stream
Buffalo, E. A., Fries, P., Landman, R., Buschman, T. J., & Desimone, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011284108 · Cited by 606
Neurophysiology of the BOLD fMRI Signal in Awake Monkeys
Goense, J. B. M., & Logothetis, N. K. (2008) · Current Biology · doi:10.1016/j.cub.2008.03.054 · Cited by 583
Muthukumaraswamy, S. D., Edden, R. A. E., Jones, D. K., Swettenham, J. B., & Singh, K. D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900728106 · Cited by 581
Thalamic Mechanisms of EEG Alpha Rhythms and Their Pathological Implications
Hughes, S. W., & Crunelli, V. (2005) · The Neuroscientist · doi:10.1177/1073858405277450 · Cited by 565
Guarding the gateway to cortex with attention in visual thalamus
McAlonan, K., Cavanaugh, J., & Wurtz, R. H. (2008) · Nature · doi:10.1038/nature07382 · Cited by 510
Scheeringa, R., Fries, P., Petersson, K. M., Oostenveld, R., Grothe, I., Norris, D. G., Peter Hagoort, A., & BASTIAANSEN, M. C. M. (2011) · Neuron · doi:10.1016/j.neuron.2010.11.044 · Cited by 479
Self-citationLocalizing human visual gamma-band activity in frequency, time and space
Hoogenboom, N., Schoffelen, J., Oostenveld, R., Parkes, L. M., & Fries, P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.043 · Cited by 477
Cognitive and Perceptual Functions of the Visual Thalamus
Saalmann, Y. B., & Kästner, S. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.027 · Cited by 461
Neuronal Mechanisms and Attentional Modulation of Corticothalamic Alpha Oscillations
Bollimunta, A., Mo, J., Schroeder, C. E., & Ding, M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5580-10.2011 · Cited by 441
Laminar analysis of 7T BOLD using an imposed spatial activation pattern in human V1
Polimeni, J. R., Fischl, B. R., Greve, D. N., & Wald, L. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.005 · Cited by 431
Single-trial EEG–fMRI reveals the dynamics of cognitive function
Debener, S., Ullsperger, M., Siegel, M., & Engel, A. K. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.09.010 · Cited by 428
Lopes, F. H. D. S., Vos, J. E., Mooibroek, J. J., & van Rotterdam, A. (1980) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(80)90011-5 · Cited by 425
Contextual Feedback to Superficial Layers of V1
Muckli, L., De Martino, F., Vizioli, L., Petro, L. S., Smith, F. W., Ugurbil, K., Goebel, R., & Yacoub, E. (2015) · Current Biology · doi:10.1016/j.cub.2015.08.057 · Cited by 423
Selective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-Down Feedback
Kok, P., Bains, L. J., van Mourik, T., Norris, D. G., & de Lange, F. P. (2016) · Current Biology · doi:10.1016/j.cub.2015.12.038 · Cited by 397
Self-citationScheeringa, R., Petersson, K. M., Oostenveld, R., Norris, D. G., Peter Hagoort, A., & BASTIAANSEN, M. C. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.041 · Cited by 393
Self-citationTemporal coding organized by coupled alpha and gamma oscillations prioritize visual processing
Jensen, O., Gips, B., Bergmann, T. O., & Bonnefond, M. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.04.001 · Cited by 389
Self-citationLayer-Specific Entrainment of Gamma-Band Neural Activity by the Alpha Rhythm in Monkey Visual Cortex
Spaak, E., Bonnefond, M., Maier, A., Leopold, D. A., & Jensen, O. (2012) · Current Biology · doi:10.1016/j.cub.2012.10.020 · Cited by 385
Self-citationAnatomically motivated modeling of cortical laminae
Wähnert, M., Dinse, J., Weiss, M., Streicher, M., Wähnert, P., Geyer, S., Turner, R., & Bazin, P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.078 · Cited by 319
Background gamma rhythmicity and attention in cortical local circuits: A computational study
Börgers, C., Epstein, S., & Kopell, N. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502366102 · Cited by 301
Three dimensional echo-planar imaging at 7 Tesla
Poser, B. A., Koopmans, P. J., Witzel, T., Wald, L. L., & Barth, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.108 · Cited by 284
Self-citationReading vascular changes in brain imaging: is dendritic calcium the key?
Lauritzen, M. (2004) · Nature reviews. Neuroscience · doi:10.1038/nrn1589 · Cited by 274
Yuan, H., Liu, T., Szarkowski, R., Rios, C., Ashe, J., & He, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.028 · Cited by 274
Maier (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00031 · Cited by 266
Robust Gamma Coherence between Macaque V1 and V2 by Dynamic Frequency Matching
Roberts, M. J., Lowet, E., Brunet, N. M., Wal, M. T., Tiesinga, P. H. E., Fries, P., & Weerd, P. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.003 · Cited by 257
Zumer, J. M., Scheeringa, R., Schoffelen, J., Norris, D. G., & Jensen, O. B. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001965 · Cited by 228
Self-citationLayer-specific BOLD activation in human V1
Koopmans, P. J., Barth, M., & Norris, D. G. (2010) · Human Brain Mapping · doi:10.1002/hbm.20936 · Cited by 220
Self-citationA Microsaccadic Rhythm Modulates Gamma-Band Synchronization and Behavior
Bosman, C. A., Womelsdorf, T., Desimone, R., & Fries, P. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1193-09.2009 · Cited by 212
Haegens, S., Barczak, A., Musacchia, G., Lipton, M. L., Mehta, A. D., Lakatos, P., & Schroeder, C. E. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0600-15.2015 · Cited by 204
Transient Cortical Excitation at the Onset of Visual Fixation
Rajkai, C., Lakatos, P., Chen, C. A., Pincze, Z., Karmos, G., & Schroeder, C. E. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm046 · Cited by 197
Laminar analysis of visually evoked activity in the primary visual cortex
Xing, D., Yeh, C.-I., Burns, S., & Shapley, R. M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201478109 · Cited by 191
Neurophysiologic correlates of fMRI in human motor cortex
Hermes, D., Miller, K. J., Vansteensel, M. J., Aarnoutse, E. J., Leijten, F. S. S., & Ramsey, N. F. (2011) · Human Brain Mapping · doi:10.1002/hbm.21314 · Cited by 186
Top-Down Beta Rhythms Support Selective Attention via Interlaminar Interaction: A Model
Lee, J. H., Whittington, M. A., & Kopell, N. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003164 · Cited by 175
Cortical lamina-dependent blood volume changes in human brain at 7 T
Huber, L., Goense, J. B. M., Kennerley, A. J., Trampel, R., Guidi, M., Reimer, E., Ivanov, D., Neef, N. E., Gauthier, C. J., Turner, R., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.046 · Cited by 170
A cortical vascular model for examining the specificity of the laminar BOLD signal
Markuerkiaga, I., Barth, M., & Norris, D. G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.073 · Cited by 169
Self-citationVanduffel, W. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.2.109 · Cited by 167
Lauritzen, M., Mathiesen, C., Schaefer, K., & Thomsen, K. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.040 · Cited by 167
Multi-echo fMRI of the cortical laminae in humans at 7T
Koopmans, P. J., Barth, M., Orzada, S., & Norris, D. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.042 · Cited by 160
Self-citationYellin, D., Berkovich‐Ohana, A., & Malach, R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.034 · Cited by 136
Bok, S. T. (1929) · Zeitschrift für die gesamte Neurologie und Psychiatrie · doi:10.1007/bf02864437 · Cited by 122
Fries, P., Scheeringa, R., & Oostenveld, R. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.020 · Cited by 122
Self-citationInfragranular sources of sustained local field potential responses in macaque primary visual cortex
Maier, A., Aura, C. J., & Leopold, D. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5300-09.2011 · Cited by 99
Muthukumaraswamy, S. D., & Singh, K. D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.052 · Cited by 91
Koch, S., Werner, P., Steinbrink, J. M., Fries, P., & Obrig, H. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1402-09.2009 · Cited by 89
Discrimination of cortical laminae using MEG
Troebinger, L., López, J. D., Lutti, A., Bestmann, S., & Barnes, G. R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.015 · Cited by 66
Diffusion tensor characteristics of gyrencephaly using high resolution diffusion MRI in vivo at 7T
Kleinnijenhuis, M., van Mourik, T., Norris, D. G., Ruiter, D. J., van Walsum, A. V. C., & Barth, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.001 · Cited by 63
Self-citationFunctional decoupling of BOLD and gamma‐band amplitudes in human primary visual cortex
Muthukumaraswamy, S. D., & Singh, K. D. (2008) · Human Brain Mapping · doi:10.1002/hbm.20644 · Cited by 59
Marshall, T. R., Esterer, S., Herring, J., Bergmann, T. O., & Jensen, O. B. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.069 · Cited by 45
Self-citation
Research works printed but not linked: 1
- T Van Mourik PJ Koopmans DG Norris Improved cortical boundary registration for locally distorted fMRI. Proceedings of the ISMRM-ESMRBM Joint Annual Meeting 2014 (Curran Assoc Red Hook NY) p 903. (2015).
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“And what are the haemodynamic correlates of event-related desynchronisation and fast (oscillatory) activity (Singh et al., 2002; Laufs et al., 2003; Kilner et al., 2005; Murta et al., 2015; Scheeringa et al., 2016)?”
Metadata
- Authors
- Scheeringa, R., Koopmans, P. J., van Mourik, T., Jensen, O., & Norris, D. G.
- Affiliations
- Radboud University Nijmegen (NL)
- Donders Institute for Brain Cognition and Behaviour, Radboud University, NL-6500 HB Nijmegen, The Netherlands;
- Erwin L. Hahn Institute for Magnetic Resonance Imaging (DE)
- Corresponding author
- Scheeringa, René
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2016-05-31
- Volume
- 113
- Issue
- 24
- Pages
- 6761-6766
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4914170
- OpenAlex
- W2410089593
- Cited by
- 162
- References
- 74
- Citations by year
- 2026: 14 · 2025: 13 · 2024: 8 · 2023: 12 · 2022: 13 · 2021: 26 · 2020: 21 · 2019: 21 · 2018: 13 · 2017: 17 · 2016: 4
- FWCI
- 11.67
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- University of Twente Research Information (publishedVersion, other-oa)
- Universitätsbibliographie, Universität Duisburg-Essen (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- University of Twente Research Information (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (453-09-002, 451-12-021)
- Wellcome Trust (WT100092MA)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- cortical oscillations, gamma oscillations, beta oscillations, alpha oscillations, visual cortex, EEG-fMRI correlation, high-resolution fMRI
- MeSH terms
- Adolescent, Adult, Alpha Rhythm, Beta Rhythm, Female, Humans, Magnetic Resonance Imaging, Male, Oxygen, Visual Cortex, Gamma Rhythm
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